Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
mozilla-foundation/common_voice_7_0
Generated from Trainer
Instructions to use mattchurgin/xls-r-eng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mattchurgin/xls-r-eng with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mattchurgin/xls-r-eng")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("mattchurgin/xls-r-eng") model = AutoModelForCTC.from_pretrained("mattchurgin/xls-r-eng", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb48ee9fa3c57416ccc8fc28fc2fbe094379c96d29628dfb47d5bb638fa19189
- Size of remote file:
- 2.99 kB
- SHA256:
- d118e42535c934c70d07a3714d6d1920cb49fd8cfe6d64fc5e126f0905ace316
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.